70 citations · 110 across the 6 of their papers we have counts for
3 papers · 1 filter
Super-resolution of spin configurations based on flow-based generative models
Kenta Shiina, Lee Hwee Kuan, Hiroyuki Mori +2
We present a super-resolution method for spin systems using a flow-based generative model that is a deep generative model with reversible neural network architecture. Starting from…
Weakly-supervised learning on Schrodinger equation
Kenta Shiina, Hwee Kuan Lee, Yutaka Okabe +1
We propose a machine learning method to solve Schrodinger equations for a Hamiltonian that consists of an unperturbed Hamiltonian and a perturbation. We focus on the cases where th…
Inverse Renormalization Group based on Image Super-Resolution using Deep Convolutional Networks
Kenta Shiina, Hiroyuki Mori, Yusuke Tomita +2
The inverse renormalization group is studied based on the image super-resolution using the deep convolutional neural networks. We consider the improved correlation configuration in…